Perform object detection on tile-splitted video as well

[pikachu28]

🚀 Feature

Just like taking tiled image as an input we are able to detect the object, it would be great if the same thing could happen for tile-splitted .mp4 videos as well.

Motivation

Most of the resource I am coming across over the internet deals with tiled images. I am searching for couple of days the same thing for videos but couldn't found anything.

Pitch

I want this repository to detect objects in tiled .mp4 videos as well

I hope I made myself clear, if not please let me know.

[github-actions[bot]]

Hello @pikachu28, thank you for your interest in our work! Ultralytics has publicly released YOLOv5 at https://github.com/ultralytics/yolov5, featuring faster, lighter and more accurate object detection. YOLOv5 is recommended for all new projects.

If this is a bug report, please provide screenshots and minimum viable code to reproduce your issue, otherwise we can not help you.

If this is a custom model or data training question, please note that Ultralytics does not provide free personal support. As a leader in vision ML and AI, we do offer professional consulting, from simple expert advice up to delivery of fully customized, end-to-end production solutions for our clients, such as:

• Cloud-based AI systems operating on hundreds of HD video streams in realtime.
• Edge AI integrated into custom iOS and Android apps for realtime 30 FPS video inference.
• Custom data training, hyperparameter evolution, and model exportation to any destination.

For more information please visit https://www.ultralytics.com.

[github-actions[bot]]

This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.

[glenn-jocher]

@pikachu28 hi there! Thanks for the suggestion. I appreciate the interest in extending the object detection capabilities to tiled .mp4 videos. This feature would indeed be beneficial for many users. I'll bring this up with the Ultralytics team for consideration. If you'd like to explore some workarounds in the meantime, the Ultralytics Docs at docs.ultralytics.com may have some helpful resources. Thank you for your valuable input!